'GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia', by Carlo Lucibello, Aurora Rossi.
http://jmlr.org/papers/v26/24-2130.html
#graphneuralnetworks #graphs #graph
'GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia', by Carlo Lucibello, Aurora Rossi.
http://jmlr.org/papers/v26/24-2130.html
#graphneuralnetworks #graphs #graph
Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
--
https://doi.org/10.1111/mice.13484 <-- shared paper
--
https://github.com/MehdiTaghizadehUVa/modulus/tree/main/examples/weather/flood_modeling/hydrographnet <-- shared GitHub repository
--
#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation
An introduction to graph neural networks, with a section on "where to find them", that does not mention at all neural circuits or connectomes. WTF.
Dive into the world of #GraphNeuralNetworks (GNNs)!
Discover their advantages over traditional machine learning and have a quick primer on graph representation learning using PyG, a popular open-source GNN library.
Watch now on #InfoQ: https://bit.ly/3UXutls
#transcript included
Newsletter
Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging
Newsletter
Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging
Newsletter
Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging
Newsletter
Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging
Newsletter
Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging
Interpretable Graph Neural Networks for Tabular Data
https://arxiv.org/abs/2308.08945
Discussion: https://news.ycombinator.com/item?id=37269376
* GNN essentially deep NN black-box models
* IGNNet: Interpretable Graph Neural Network for tab data
* notable HN comment, resp. to critique: " Right, the significance of orig. article & related research is ChatGPT-like models don't handle tabular data well & there's need for things that do"
Addendae 4
Graph Structure f. Point Clouds: Geometric Attention All You Need
https://arxiv.org/abs/2307.16662
* partly intersect my interest in knowledge graphs, fully-connected networks, and transformers in NLP and ML
* length of that discussion - though brief - exceeds the Mastodon 500-char limit, so I moved that discussion here:
Fully-connected graphs: Graph neural networks, transformers
https://persagen.com/docs/gnn-transformers.html
Hierarchical GNNs for Large Graph Generation
https://arxiv.org/abs/2306.11412
Large graphs are present in a variety of domains, including social networks, civil infrastructure, & the physical sciences. ... Graph generation is similarly widespread, with applications in drug discovery, network analysis & synthetic datasets among others. While GNN (Graph Neural Network) models have been applied in these domains their high in-memory costs restrict them to small graphs. ...
"CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis"
https://arxiv.org/abs/2301.01642
"On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
https://arxiv.org/abs/2211.16494
Hi all,
I'm a PhD student in #MachineLearning at the technical university of Munich #TUM. I'm currently working on machine learning on graphs and machine learning-driven computional chemistry.
#ml #GraphNeuralNetworks #GNNs #compchem